Combined K-Nearest neighbors and fuzzy logic indoor localization technique for wireless sensor network

Research Journal of Information Technology

Volumn 4, Issue 4, 2012, Pages 155-165

  Rozyyev, Azat ^a   Hasbullah, Halabi ^a   Subhan, Fazli ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Fuzzy logic; Indoor localization; K nearest neighbors; Wireless sensor network

Indexed keywords

EID: 84865080448     PISSN: 18157432     EISSN: None     Source Type: Journal    
DOI: 10.3923/rjit.2012.155.165     Document Type: Article

References (23)

1. 3Com Corporation, 2003. Office Connect® wireless llg access point user guide. Part No. DUA0045-4AAA02, Santa Clara, CA. http://h20000.www2.hp.com/bc/docs/support/supportmanual/c02582701/c02582701.pdf?jumpid=reg_rl002_usen
2. Akpolat, Z.H., 2005. Non-singleton fuzzy logic control of a DC motor. J. Applied Sci., 5: 887-891.
3. Bahl, P. and V. N. Padmanabhan, 2000. Radar: An in-building Rf-based user location and tracking system. Comput. Comm. Soc, 2: 775-784.
4. Chen, C.Y, J.P. Yang, G.J. Tseng, Y.H. Wu and R.C. Hwang, 2010. An indoor positioning techniques based on fuzzy logic. Proceedings of the International MultiConference of Engineers and Computer Scientists, March 17-19, 2010, Hong Kong.
5. Das, B.R., S.M. Ishtiaque and R.S. Rengasamy, 2011. Migration behaviour of polyester/viscose blended rotor spun yarns. Asian J. Textile, 1: 27-34.
6. Fukuju, Y., M. Minami, H. Morikawa and T. Aoyama, 2003. DOLPHIN: An autonomous indoor positioning system in ubiquitous computing environment. Proceedings of the IEEE Workshop on Software Technologies for Future Embedded Systems, May 15-16, 2003, Hakodate, Hokkaido, Japan, pp: 53-56.
7. Hightower, J., G. Borriello and R. Want, 2000. Spoton: An indoor 3D location sensing Technology based on RF signal strength. UW CSE Technical Report 2000-02-02, University of Washington/Xerox Palo Alto Research Center, ftp://128.95.L178/tr/2000/02/UW-CSE-00-02-02.pdf
8. Kuang, X. and H. Shao, 2006. Maximum likelihood localization algorithm using wireless sensor networks. Proceedings of the 1st International Conference on Innovative Computing, Information and Contro, August 30-September 1, 2006, Beijing China, pp: 263-266.
9. Li, Z., R. Li, Y. Wei and T. Pei, 2010. Survey of localization techniques in wireless sensor networks. Inform. Technol. J, 9: 1754-1757.
10. Liu, H., H. Darabi, P. Banerjee and J. Liu, 2007. Survey of wireless indoor positioning techniques and systems. IEEE Trans Syst. Man Cybern. Part C Appl. Rev., 37: 1067-1080.
11. Motlagh, O., S.H. Tang, N. Ismail and A.R. Ramli, 2009. A review on positioning techniques and technologies: A novel AI approach. J. Applied Sci., 9: 1601-1614.
12. Ni, L.M., Y. Liu, Y.C. Lao and A.P. Patil, 2003. LAND MARC: Indoor location sensing using active RFID. Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, March 23-26, 2003, Fort Worth, Texas, USA., pp: 407-415.
13. Priyantha. N.B., 2005. The cricket indoor location system. Ph.D. Thesis, Massachusetts Institute of Technology, Massachusetts, USA.
14. Rozyyev, A., H. Hasbullah and F. Subhan, 2011. Indoor child tracking in wireless sensor network using fuzzy logic technique. Res. J. Inform. Technol., 3: 81-92.
15. Sabri, N, S.A. Aljumd, R.B. Ahmad, A. Yahya, R. Kamaruddin and M.S. Salim, 2011. Wireless sensor actor network based on fuzzy inference system for greenhouse climate control. J. Applied Sci, 110:3104-3116.
16. Subhan, F., H. Hasbullah, A. Rozyyev and S.T. Bakhsh, 2011. Indoor positioning in bluetooth networks using fingerprinting and lateration approach. Proceedings of the International Conference on Information Science and Applications, April 26-29, 2011, Jeju Island. South Korea, pp: 1-9.
17. Teuber, A., B. Eissfeller and T. Pany, 2006. A two-stage fuzzy logic approach for wireless Ian indoor positioning. Proceedings of IEEE/ION Position, Location and Navigation Symposium. April 25-27, San Diego, CA, pp: 730-738.
18. Wang, W., B. Wang, Z. Liu, L. Guo and W. Xiong, 2011. A cluster-based and tree-based power efficient data collection and aggregation protocol for wireless sensor networks. Inform. Technol. J, 10: 557-564.
19. Wang, X., O. Bischoff, R. Laur and S. Paul, 2009. Localization in wireless Ad-hoc sensor networks using multilateration with RSSI for logistic applications. Proceedings of the Eurosensors 23th Conference, Aug. 31, Elsevier BV., pp: 461-464.
20. Wu, J., 2005. Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless and Peer-To-Peer Networks. Boston, Auerbach Publications, USA.
21. Xiangyang, M. and T. Zhang, 2009. A novel minimax probability machine. Inform. Technol. J, 8:615-618.
22. Xu, W. and H. Zi-Shu, 2011. Target motion analysis in three-sensor TDOA location system. Inform. Technol. J, 10: 1150-1160.
23. Yim, J., C. Park, J. Joo and S. Jeong, 2008. Extended Kalman filter for wireless LAN based indoor positioning. Decis. Support Syst., 45: 960-971.